Predictions of river temperature and sensitivity to climate change in Scotland

These layers are the outputs of research which developed a national river temperature model for Scotland capable of predicting both daily maximum river temperature and sensitivity to climate change. The layers show the following:

summer_max_tw_2015_16 – Predictions of maximum daily river temperatures for the hottest day between July 2015 and June 2016.

summer_max_tw_2003 – Predictions of maximum daily river temperatures for the hottest year in the last 20 years (2003).

summer_climate_change_sensitivity – Predictions of the change in river temperature that would result from a 1°C increase in air temperature.

A fourth layer has been developed to combine the outputs from “summer_max_tw_2003” and “summer_climate_change_sensitivity” into a single layer that can be used to prioritise management where the relative importance of maximum temperature and temperature change are considered to be equal. This was achieved by (1) dividing the predictions of ‘summer_max_tw_2003’ and ‘summer_climate_change_sensitivity’ into 5 equal categories between the minimum and maximum observed values (2) assigning these categories a value ranging from 1 (the hottest / most sensitive rivers) to 5 (the coolest / least sensitive rivers) (3) sum the rankings (-1) to produce an overall priority ranking (1:9) where rivers ranked as 1 are the highest priority for management (i.e. high river temperature and high climate sensitivity) and 9 the lowest.

Management_Priority_Layer – Management priority on a scale of 1:9 where 1 is the highest priority (i.e. high river temperature and high climate sensitivity) and 9 the lowest

 
Citation proposal
Scottish Government (Marine Scotland) (2017) . Predictions of river temperature and sensitivity to climate change in Scotland. https://services.mspdata.eu:/geonetwork/srv/api/records/Marine_Scotland_FishDAC_1997

Simple

Date ( Publication )
2017-10-23
Identifier
Marine_Scotland_FishDAC_1997

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Maintenance and update frequency
Not Planned Not Planned
Keywords
  • Marine Environmental Data and Information Network
SeaDatanet Parameter Disciplines
  • Environment , Fisheries and aquaculture
GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Hydrography
Use limitation

Predictions are plotted on CEH Rivers dataset which is held under license so the underlying dataset cannot be available for download.

Where the predictions are used, reference must be made to the original publication: Jackson, F. L., Fryer, R. J., Hannah, D. M., Millar, C.P., and Malcolm, I. A. (2018) A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change. Science of The Total Environment., 612, 1543-1558.

Use limitation

The following copyright and acknowledgement should be placed on all copies of information or images derived from the licensed CEH river network data: ‘© Scottish Government (Marine Scotland) [Year]. Based on digital spatial data licensed from the Centre for Ecology & Hydrology, © NERC (CEH)' (preceded if appropriate by 'Some features of this map are'). And: 'Contains Ordnance Survey data © Crown copyright and database right [year]'.

The following citation must be included in the reference list of any reports or publications in which the licensed CEH river network data, or derived data, have been used. ‘Moore RV, Morris DG and Flavin RW, 1994. Sub-set of UK digital 1:50,000 scale river centre-line network. NERC, Institute of Hydrology, Wallingford.’

Access constraints
otherRestrictions Other restrictions
Other constraints
public access limited according to Article 13(1)(e) of the INSPIRE Directive
Distance
50  http://standards.iso.org/ittf/PubliclyAvailableStandards/ISO_19139_Schemas/resources/uom/gmxUom.xml#m
Metadata language
eng English
Topic category
  • Environment
  • Inland waters
N
S
E
W


Geographic identifier
The entire body of water between the bed and the atmosphere.

 

Date ( Revision )
2010-01-01

Reference system identifier
OGP / urn:ogc:def:crs:EPSG::27700
Distribution format
  • ESRI Shapefile (1.0 )

OnLine resource
SRTMN - Predictions of maximum daily river temperatures for the hottest day between July 2015 and June 2016  

View summer_max_tw_2015_16 on Marine Scotland Maps portal

OnLine resource
SRTMN - Predictions of maximum daily river temperatures for the hottest year in the last 20 years (2003)  

View summer_max_tw_2003 on Marine Scotland Maps portal

OnLine resource
SRTMN - Predictions of the change in river temperature that would result from a 1°C increase in air temperature  

View summer_climate_change_sensitivity on Marine Scotland Maps portal

OnLine resource
SRTMN_summer_climate_change_sensitivity  

SRTMN - Predictions of the change in river temperature that would result from a 1°C increase in air temperature (hidden when zoomed in past 1:50

OnLine resource
SRTMN_summer_max_water_temp_2003  

SRTMN - Predictions of maximum daily river temperatures for the hottest year in the last 20 years (2003) (hidden when zoomed in past 1:50

OnLine resource
SRTMN_summer_max_water_temp_2015_16  

SRTMN - Predictions of maximum daily river temperatures for the hottest day between July 2015 and June 2016 (hidden when zoomed in past 1:50

OnLine resource
SRTMN - Management priority on a scale of 1:9 where 1 is highest priority (i.e. high river temperature and high climate sensitivity) and 9 is lowest (hidden when zoomed in past 1:5,000)  

View SRTMN_Management_priority_layer on Marine Scotland Maps portal

OnLine resource
SRTMN_Management_priority_layer  

SRTMN - Management priority on a scale of 1:9 where 1 is highest priority (i.e. high river temperature and high climate sensitivity) and 9 is lowest (hidden when zoomed in past 1:5

Hierarchy level
dataset Dataset
Statement

River temperature data were obtained from the Scotland River Temperature Monitoring Network (SRTMN: http://www.gov.scot/Topics/marine/Salmon-Trout-Coarse/Freshwater/Monitoring/temperature ). SRTMN is a strategically designed and quality controlled monitoring network being delivered by MSS-FFL in collaboration with local rivers and fisheries trusts and boards.

The daily maximum river temperature model for Scotland allows current and future river temperatures and sensitivity to climate change to be predicted from; the day of the year (DoY), air temperature on that day, location in the country (region/hydrometric area), location on the river network and the characteristics of the river (elevation, bankside woodland and channel orientation). The predictions can be used to identify areas which may benefit from management action such as native tree planting to reduce maximum temperatures. This information should be combined with an understanding of the processes controlling the effectiveness of riparian shading to make decisions on the precise locations for planting (http://www.gov.scot/Topics/marine/Publications/TopicSheets/tslist/treeplant)

The details of the model and predictions can be found in: Jackson, F. L., Fryer, R. J., Hannah, D. M., Millar, C.P., and Malcolm, I. A. (2018) A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change. Science of The Total Environment., 612, 1543-1558.

Metadata

File identifier
Marine_Scotland_FishDAC_1997   XML
Metadata language
eng English
Hierarchy level
dataset Dataset
Date stamp
2019-06-26
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0

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